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    <title>integrated optimization - simulation model for water allocation in an irrigation project</title>
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  <name type="personal">
    <namePart>Mohanty, Binayak Prasad</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Mizutani, Masakazu</namePart>
    <role>
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  <name type="personal">
    <namePart>Bogardi, Janos J.</namePart>
    <role>
      <roleTerm type="text">Co-Chairperson</roleTerm>
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  <name type="personal">
    <namePart>Murty, V.V.N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Singh, Gajendra</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Paudyal, Guna N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Government of Australia</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
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  <genre authority="marc">technical report</genre>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1987</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>141 p.</extent>
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  <abstract>An explicit stochastic dynamic programming model is used in this study  to derive the optimum operation policies of the single-purpose Kanjhari  reservoir, in India, that minimizes the expected annual squared deviation  between target irrigation demand and reservoir release, satisfying the  system constraining conditions. The model used the backward-looking  stochastic dynamic programming algorithm with reservoir inflows treated  as the first order Markov chain. The optimal monthly operation policies  are expressed in terms of final storage state at the end of each month,  as the function of the initial storage state at the beginning of the  current month, and the inflow during the current month.  Achieving the optimal release policy by stochastic reservoir operation  model, the optimal al location policy between the main canals, and the  feasible crop acreage of different competing crops in the command area  were estimated by the simulation model using a physical performance indicator with an objective to, minimize the accumulated deviation function  from the "most ideal" configuration of the system for 35 consecutive crop  years of historical record. The simulation model was tried with different  parameters and criteria.  A reliability analysis was also carried out to investigate the rela tive performance of the system at different system configuration, which  can serve as a tool to decision estimator, or project planner for the  optimal irrigation project planning and operation.  Due to the physical basis of optimization, this combined model is well  suitable for any single purpose irrigation project within the limited data  requirement.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1987</note>
  <subject authority="lcsh">
    <topic>Water in agriculture</topic>
    <topic>Mathematical models</topic>
  </subject>
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      <title>Thesis ; no. AE-87-05</title>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B19054</identifier>
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